Azure DevOps Engineer

Innovitusa

Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 20 days ago

Vacancies: 1 Vacancy

Job Summary

CANDIDATE SKILLS AND QUALIFICATIONS

8	Required	Cloud Platforms: Experience with AWS Azure GCP or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI AWS SageMaker/Bedrock GCP Vertex AI OCI AI Services).
8	Required	DevOps: Ansible CI/CD Docker and Kubernetes experience.
8	Required	Databases: SQL (PostgreSQL MySQL) and NoSQL/vector databases.
8	Required	Scripting: Proficient in both Bash and PowerShell for automation.
8	Required	CI/CD Experience: Azure DevOps GitHub Actions Jenkins or similar automation pipelines.
3	Required	Python: 3-5 years production experience this is your primary language.
3	Required	NLP/LLMs: Experience with transformers (BERT GPT T5) RAG systems fine-tuning prompt engineering or building LLM applications.
3	Required	Time Series: Forecasting models anomaly detection sequential data modeling or real-time monitoring systems.
3	Required	Recommender Systems: Collaborative filtering ranking models personalization engines or content recommendations.
3	Required	MLOps Tools: Production experience with MLflow Weights & Biases Kubeflow Airflow or similar platforms.
3	Required	Distributed Training: Large-scale model training multi-GPU/multi-node setups efficient data parallelism.
3	Required	Computer Vision: Production CV experience with PyTorch/TensorFlow OpenCV YOLO object detection segmentation or real-time inference.
3	Required	Feature stores (Feast Tecton) or advanced feature engineering.
3	Required	Model optimization: quantization pruning knowledge distillation.
3	Required	LLM Models: Ollama Huggingface or other non-frontier models
2	Required	AI/ML Production: Built and deployed 2-3 ML models serving real users not just experiments.
1	Preferred	Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
1	Preferred	Prior experience in the transportation logistics or smart city sectors.
1	Preferred	Background in Computer Vision (object detection image segmentation) applied to infrastructure or vehicular data.
1	Preferred	Familiarity with public sector data compliance security and governance standards.
1	Preferred	Experience with the Unreal gaming engine and real world digital twinning
1	Preferred	Experience with Google Maps Cesium API
1	Preferred	Experience with Polygonflow Dash and its capabilities

CANDIDATE SKILLS AND QUALIFICATIONS 8 Required Cloud Platforms: Experience with AWS Azure GCP or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI AWS SageMaker/Bedrock GCP Vertex AI OCI AI Services). 8 Required DevOps: A...

CANDIDATE SKILLS AND QUALIFICATIONS

8	Required	Cloud Platforms: Experience with AWS Azure GCP or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI AWS SageMaker/Bedrock GCP Vertex AI OCI AI Services).
8	Required	DevOps: Ansible CI/CD Docker and Kubernetes experience.
8	Required	Databases: SQL (PostgreSQL MySQL) and NoSQL/vector databases.
8	Required	Scripting: Proficient in both Bash and PowerShell for automation.
8	Required	CI/CD Experience: Azure DevOps GitHub Actions Jenkins or similar automation pipelines.
3	Required	Python: 3-5 years production experience this is your primary language.
3	Required	NLP/LLMs: Experience with transformers (BERT GPT T5) RAG systems fine-tuning prompt engineering or building LLM applications.
3	Required	Time Series: Forecasting models anomaly detection sequential data modeling or real-time monitoring systems.
3	Required	Recommender Systems: Collaborative filtering ranking models personalization engines or content recommendations.
3	Required	MLOps Tools: Production experience with MLflow Weights & Biases Kubeflow Airflow or similar platforms.
3	Required	Distributed Training: Large-scale model training multi-GPU/multi-node setups efficient data parallelism.
3	Required	Computer Vision: Production CV experience with PyTorch/TensorFlow OpenCV YOLO object detection segmentation or real-time inference.
3	Required	Feature stores (Feast Tecton) or advanced feature engineering.
3	Required	Model optimization: quantization pruning knowledge distillation.
3	Required	LLM Models: Ollama Huggingface or other non-frontier models
2	Required	AI/ML Production: Built and deployed 2-3 ML models serving real users not just experiments.
1	Preferred	Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
1	Preferred	Prior experience in the transportation logistics or smart city sectors.
1	Preferred	Background in Computer Vision (object detection image segmentation) applied to infrastructure or vehicular data.
1	Preferred	Familiarity with public sector data compliance security and governance standards.
1	Preferred	Experience with the Unreal gaming engine and real world digital twinning
1	Preferred	Experience with Google Maps Cesium API
1	Preferred	Experience with Polygonflow Dash and its capabilities